
===============================================================
                                Dependent Variable             
                    -------------------------------------------
                      Symbolic Sexism   Female Candidate Picked
                            (1)                   (2)          
---------------------------------------------------------------
Post                      -0.009                -0.003         
                          (0.007)               (0.013)        
                                                               
Constant                 0.473***              0.268***        
                          (0.005)               (0.009)        
                                                               
---------------------------------------------------------------
Observations                402                  4,986         
R2                         0.004                0.00001        
Adjusted R2                0.001                -0.0002        
Residual Std. Error  0.074 (df = 400)      0.442 (df = 4984)   
F Statistic         1.508 (df = 1; 400)  0.051 (df = 1; 4984)  
===============================================================
Note:                               *p<0.1; **p<0.05; ***p<0.01

==================================================
                          Dependent Variable      
                     -----------------------------
                            Candidate Score       
--------------------------------------------------
Post                             0.001            
                                (0.022)           
                                                  
Female Strong                  0.133***           
                                (0.023)           
                                                  
Male Strong                    -0.171***          
                                (0.019)           
                                                  
Post x Female Strong            -0.035            
                                (0.033)           
                                                  
Post x Male Strong               0.023            
                                (0.027)           
                                                  
Constant                       0.280***           
                                (0.015)           
                                                  
--------------------------------------------------
Observations                     4,986            
R2                               0.066            
Adjusted R2                      0.065            
Residual Std. Error        0.428 (df = 4980)      
F Statistic            70.395*** (df = 5; 4980)   
==================================================
Note:                *p<0.05; **p<0.01; ***p<0.001

	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "bothstrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "bothstrong"]
t = -0.057254, df = 1653.7, p-value = 0.9543
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.04456190  0.04203413
sample estimates:
mean of x mean of y 
0.2803738 0.2816377 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "femalestrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "femalestrong"]
t = 1.4122, df = 1656.6, p-value = 0.1581
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.01318388  0.08098148
sample estimates:
mean of x mean of y 
0.4135514 0.3796526 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "malestrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "malestrong"]
t = -1.5041, df = 1625.6, p-value = 0.1328
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.055716503  0.007352597
sample estimates:
mean of x mean of y 
0.1098131 0.1339950 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "bothstrong"] and s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "femalestrong"]
t = -5.8423, df = 1695.7, p-value = 6.161e-09
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.17788800 -0.08846714
sample estimates:
mean of x mean of y 
0.2803738 0.4135514 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "bothstrong"] and s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "malestrong"]
t = 9.1128, df = 1526, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.1338476 0.2072739
sample estimates:
mean of x mean of y 
0.2803738 0.1098131 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "malestrong"] and s4_dat$f_picked[s4_dat$placement == "Pre" & s4_dat$election_condition == "femalestrong"]
t = -15.225, df = 1447.9, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.3428717 -0.2646050
sample estimates:
mean of x mean of y 
0.1098131 0.4135514 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "bothstrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "femalestrong"]
t = -4.2028, df = 1600.8, p-value = 2.782e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.14375883 -0.05227095
sample estimates:
mean of x mean of y 
0.2816377 0.3796526 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "bothstrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "malestrong"]
t = 7.4242, df = 1499.8, p-value = 1.893e-13
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.1086342 0.1866511
sample estimates:
mean of x mean of y 
0.2816377 0.1339950 


	Welch Two Sample t-test

data:  s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "malestrong"] and s4_dat$f_picked[s4_dat$placement == "Post" & s4_dat$election_condition == "femalestrong"]
t = -11.755, df = 1443.3, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.2866508 -0.2046643
sample estimates:
mean of x mean of y 
0.1339950 0.3796526 


=================================================================================
                                                         Dependent variable:     
                                                    -----------------------------
                                                          Candidate Choice       
---------------------------------------------------------------------------------
placementPost                                                  -0.079            
                                                               (0.141)           
                                                                                 
election_conditionfemalestrong                                  0.103            
                                                               (0.141)           
                                                                                 
election_conditionmalestrong                                   -0.280*           
                                                               (0.119)           
                                                                                 
symsex                                                         -0.394*           
                                                               (0.194)           
                                                                                 
placementPost:election_conditionfemalestrong                   -0.144            
                                                               (0.208)           
                                                                                 
placementPost:election_conditionmalestrong                      0.186            
                                                               (0.179)           
                                                                                 
placementPost:symsex                                            0.161            
                                                               (0.295)           
                                                                                 
election_conditionfemalestrong:symsex                           0.061            
                                                               (0.292)           
                                                                                 
election_conditionmalestrong:symsex                             0.230            
                                                               (0.245)           
                                                                                 
placementPost:election_conditionfemalestrong:symsex             0.244            
                                                               (0.438)           
                                                                                 
placementPost:election_conditionmalestrong:symsex              -0.359            
                                                               (0.372)           
                                                                                 
Constant                                                      0.466***           
                                                               (0.094)           
                                                                                 
---------------------------------------------------------------------------------
Observations                                                    4,826            
R2                                                              0.071            
Adjusted R2                                                     0.069            
Residual Std. Error                                       0.426 (df = 4814)      
F Statistic                                           33.388*** (df = 11; 4814)  
=================================================================================
Note:                                               *p<0.05; **p<0.01; ***p<0.001

	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "bothstrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "bothstrong"]
t = 0.22934, df = 1045.9, p-value = 0.8186
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.04877801  0.06168908
sample estimates:
mean of x mean of y 
0.2977941 0.2913386 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "femalestrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "femalestrong"]
t = 1.418, df = 1047.3, p-value = 0.1565
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.01645293  0.10219865
sample estimates:
mean of x mean of y 
0.4227941 0.3799213 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "malestrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "malestrong"]
t = -1.5402, df = 1017.7, p-value = 0.1238
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.070899002  0.008543745
sample estimates:
mean of x mean of y 
0.1066176 0.1377953 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "bothstrong"] and data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "femalestrong"]
t = -4.327, df = 1079.6, p-value = 1.652e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.18168359 -0.06831641
sample estimates:
mean of x mean of y 
0.2977941 0.4227941 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "bothstrong"] and data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "malestrong"]
t = 8.0749, df = 952.67, p-value = 2.029e-15
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.1447146 0.2376383
sample estimates:
mean of x mean of y 
0.2977941 0.1066176 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "malestrong"] and data_lss$f_picked[data_lss$placement == "Pre" & data_lss$election_condition == "femalestrong"]
t = -12.649, df = 910.84, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.3652346 -0.2671183
sample estimates:
mean of x mean of y 
0.1066176 0.4227941 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "bothstrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "femalestrong"]
t = -3, df = 1009.6, p-value = 0.002766
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.14652509 -0.03064026
sample estimates:
mean of x mean of y 
0.2913386 0.3799213 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "bothstrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "malestrong"]
t = 6.062, df = 945.35, p-value = 1.941e-09
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.1038359 0.2032507
sample estimates:
mean of x mean of y 
0.2913386 0.1377953 


	Welch Two Sample t-test

data:  data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "malestrong"] and data_lss$f_picked[data_lss$placement == "Post" & data_lss$election_condition == "femalestrong"]
t = -9.1581, df = 914.69, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.2940131 -0.1902389
sample estimates:
mean of x mean of y 
0.1377953 0.3799213 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "bothstrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "bothstrong"]
t = -0.24694, df = 546.11, p-value = 0.805
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.08151902  0.06331188
sample estimates:
mean of x mean of y 
0.2466216 0.2557252 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "femalestrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "femalestrong"]
t = 0.26833, df = 545.49, p-value = 0.7885
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.07030087  0.09254619
sample estimates:
mean of x mean of y 
0.3918919 0.3807692 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "malestrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "malestrong"]
t = 0.43943, df = 550.27, p-value = 0.6605
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.03985908  0.06283206
sample estimates:
mean of x mean of y 
0.1114865 0.1000000 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "bothstrong"] and data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "femalestrong"]
t = -3.8313, df = 581.09, p-value = 0.0001413
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.21974053 -0.07080001
sample estimates:
mean of x mean of y 
0.2466216 0.3918919 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "bothstrong"] and data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "malestrong"]
t = 4.3488, df = 539.93, p-value = 1.637e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.07409368 0.19617659
sample estimates:
mean of x mean of y 
0.2466216 0.1114865 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "malestrong"] and data_hss$f_picked[data_hss$placement == "Pre" & data_hss$election_condition == "femalestrong"]
t = -8.2917, df = 504.11, p-value = 1.022e-15
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.3468461 -0.2139647
sample estimates:
mean of x mean of y 
0.1114865 0.3918919 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "bothstrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "femalestrong"]
t = -3.0881, df = 513.29, p-value = 0.002123
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.20459433 -0.04549375
sample estimates:
mean of x mean of y 
0.2557252 0.3807692 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "bothstrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "malestrong"]
t = 4.7458, df = 463.05, p-value = 2.772e-06
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.09124344 0.22020694
sample estimates:
mean of x mean of y 
0.2557252 0.1000000 


	Welch Two Sample t-test

data:  data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "malestrong"] and data_hss$f_picked[data_hss$placement == "Post" & data_hss$election_condition == "femalestrong"]
t = -7.9165, df = 431.58, p-value = 2.084e-14
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.3504772 -0.2110612
sample estimates:
mean of x mean of y 
0.1000000 0.3807692 

Equivalence t-test 
Input: eps_std,  SE = 0.002
T-statistic critical interval: -4.253 to 4.253 
Substantive equivalence CI: -0.013 to 0.013 
Standardized equivalence CI: -0.17 to 0.17 
Reject the null hypothesis? TRUE, p-value of 0.048
Equivalence t-test 
Input: eps_std,  SE = 0.013
T-statistic critical interval: -0.289 to 0.289 
Substantive equivalence CI: -0.02 to 0.02 
Standardized equivalence CI: -0.046 to 0.046 
Reject the null hypothesis? TRUE, p-value of 0.038
Equivalence t-test 
Input: eps_std,  SE = 0.022
T-statistic critical interval: -0.064 to 0.064 
Substantive equivalence CI: -0.001 to 0.001 
Standardized equivalence CI: -0.003 to 0.003 
Reject the null hypothesis? TRUE, p-value of 0.045
Equivalence t-test 
Input: eps_std,  SE = 0.024
T-statistic critical interval: -1.615 to 1.615 
Substantive equivalence CI: -0.073 to 0.073 
Standardized equivalence CI: -0.15 to 0.15 
Reject the null hypothesis? TRUE, p-value of 0.032
Equivalence t-test 
Input: eps_std,  SE = 0.016
T-statistic critical interval: -1.615 to 1.615 
Substantive equivalence CI: -0.051 to 0.051 
Standardized equivalence CI: -0.155 to 0.155 
Reject the null hypothesis? TRUE, p-value of 0.04
Equivalence t-test 
Input: eps_std,  SE = 0.023
T-statistic critical interval: -6.002 to 6.002 
Substantive equivalence CI: -0.171 to 0.171 
Standardized equivalence CI: -0.362 to 0.362 
Reject the null hypothesis? TRUE, p-value of 0.036
Equivalence t-test 
Input: eps_std,  SE = 0.019
T-statistic critical interval: -9.301 to 9.301 
Substantive equivalence CI: -0.202 to 0.202 
Standardized equivalence CI: -0.521 to 0.521 
Reject the null hypothesis? TRUE, p-value of 0.034
Equivalence t-test 
Input: eps_std,  SE = 0.02
T-statistic critical interval: -15.266 to 15.266 
Substantive equivalence CI: -0.338 to 0.338 
Standardized equivalence CI: -0.818 to 0.818 
Reject the null hypothesis? TRUE, p-value of 0.046
Equivalence t-test 
Input: eps_std,  SE = 0.023
T-statistic critical interval: -4.373 to 4.373 
Substantive equivalence CI: -0.136 to 0.136 
Standardized equivalence CI: -0.291 to 0.291 
Reject the null hypothesis? TRUE, p-value of 0.035
Equivalence t-test 
Input: eps_std,  SE = 0.02
T-statistic critical interval: -7.576 to 7.576 
Substantive equivalence CI: -0.181 to 0.181 
Standardized equivalence CI: -0.452 to 0.452 
Reject the null hypothesis? TRUE, p-value of 0.036
Equivalence t-test 
Input: eps_std,  SE = 0.021
T-statistic critical interval: -11.772 to 11.772 
Substantive equivalence CI: -0.281 to 0.281 
Standardized equivalence CI: -0.669 to 0.669 
Reject the null hypothesis? TRUE, p-value of 0.048
Equivalence t-test 
Input: eps_std,  SE = 0.028
T-statistic critical interval: -0.23 to 0.23 
Substantive equivalence CI: -0.046 to 0.046 
Standardized equivalence CI: -0.1 to 0.1 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.03
T-statistic critical interval: -1.434 to 1.434 
Substantive equivalence CI: -0.093 to 0.093 
Standardized equivalence CI: -0.189 to 0.189 
Reject the null hypothesis? TRUE, p-value of 0.048
Equivalence t-test 
Input: eps_std,  SE = 0.02
T-statistic critical interval: -1.596 to 1.596 
Substantive equivalence CI: -0.064 to 0.064 
Standardized equivalence CI: -0.197 to 0.197 
Reject the null hypothesis? TRUE, p-value of 0.045
Equivalence t-test 
Input: eps_std,  SE = 0.029
T-statistic critical interval: -4.451 to 4.451 
Substantive equivalence CI: -0.173 to 0.173 
Standardized equivalence CI: -0.362 to 0.362 
Reject the null hypothesis? TRUE, p-value of 0.038
Equivalence t-test 
Input: eps_std,  SE = 0.024
T-statistic critical interval: -8.227 to 8.227 
Substantive equivalence CI: -0.231 to 0.231 
Standardized equivalence CI: -0.591 to 0.591 
Reject the null hypothesis? TRUE, p-value of 0.036
Equivalence t-test 
Input: eps_std,  SE = 0.025
T-statistic critical interval: -12.81 to 12.81 
Substantive equivalence CI: -0.359 to 0.359 
Standardized equivalence CI: -0.87 to 0.87 
Reject the null hypothesis? TRUE, p-value of 0.036
Equivalence t-test 
Input: eps_std,  SE = 0.03
T-statistic critical interval: -3.133 to 3.133 
Substantive equivalence CI: -0.137 to 0.137 
Standardized equivalence CI: -0.292 to 0.292 
Reject the null hypothesis? TRUE, p-value of 0.038
Equivalence t-test 
Input: eps_std,  SE = 0.025
T-statistic critical interval: -6.151 to 6.151 
Substantive equivalence CI: -0.196 to 0.196 
Standardized equivalence CI: -0.484 to 0.484 
Reject the null hypothesis? TRUE, p-value of 0.042
Equivalence t-test 
Input: eps_std,  SE = 0.026
T-statistic critical interval: -9.161 to 9.161 
Substantive equivalence CI: -0.286 to 0.286 
Standardized equivalence CI: -0.68 to 0.68 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.037
T-statistic critical interval: -0.291 to 0.291 
Substantive equivalence CI: -0.061 to 0.061 
Standardized equivalence CI: -0.141 to 0.141 
Reject the null hypothesis? TRUE, p-value of 0.042
Equivalence t-test 
Input: eps_std,  SE = 0.041
T-statistic critical interval: -0.289 to 0.289 
Substantive equivalence CI: -0.071 to 0.071 
Standardized equivalence CI: -0.146 to 0.146 
Reject the null hypothesis? TRUE, p-value of 0.046
Equivalence t-test 
Input: eps_std,  SE = 0.026
T-statistic critical interval: -0.513 to 0.513 
Substantive equivalence CI: -0.053 to 0.053 
Standardized equivalence CI: -0.172 to 0.172 
Reject the null hypothesis? TRUE, p-value of 0.041
Equivalence t-test 
Input: eps_std,  SE = 0.038
T-statistic critical interval: -3.942 to 3.942 
Substantive equivalence CI: -0.208 to 0.208 
Standardized equivalence CI: -0.451 to 0.451 
Reject the null hypothesis? TRUE, p-value of 0.04
Equivalence t-test 
Input: eps_std,  SE = 0.031
T-statistic critical interval: -4.426 to 4.426 
Substantive equivalence CI: -0.187 to 0.187 
Standardized equivalence CI: -0.494 to 0.494 
Reject the null hypothesis? TRUE, p-value of 0.043
Equivalence t-test 
Input: eps_std,  SE = 0.034
T-statistic critical interval: -8.407 to 8.407 
Substantive equivalence CI: -0.338 to 0.338 
Standardized equivalence CI: -0.82 to 0.82 
Reject the null hypothesis? TRUE, p-value of 0.039
Equivalence t-test 
Input: eps_std,  SE = 0.04
T-statistic critical interval: -3.147 to 3.147 
Substantive equivalence CI: -0.192 to 0.192 
Standardized equivalence CI: -0.415 to 0.415 
Reject the null hypothesis? TRUE, p-value of 0.044
Equivalence t-test 
Input: eps_std,  SE = 0.033
T-statistic critical interval: -4.85 to 4.85 
Substantive equivalence CI: -0.21 to 0.21 
Standardized equivalence CI: -0.56 to 0.56 
Reject the null hypothesis? TRUE, p-value of 0.04
Equivalence t-test 
Input: eps_std,  SE = 0.035
T-statistic critical interval: -8 to 8 
Substantive equivalence CI: -0.341 to 0.341 
Standardized equivalence CI: -0.843 to 0.843 
Reject the null hypothesis? TRUE, p-value of 0.042
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Log End Time: 2025-02-05 15:19:58.798712 
Log Elapsed Time: 0 00:00:17 
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